PM Halbach Arrays in Motors: Loss Reduction and Performance Improvements

Ahmed Hebala, Stefano Nuzzo, Peter H. Connor, Paolo Giangrande, Chris Gerada, Michael Galea

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Halbach array configurations represent a common choice in high-performance electrical machines, since a stronger magnetic field is generated for the same Permanent Magnet (PM) volume. Hence, higher torque is developed, and the power density is enhanced. This paper investigates methodologies for reducing the PM losses in Halbach arrangements. A high power density propulsion motor is considered as a case-study and by using Finite Element (FE) software, sensitivity analyses are performed on the main design parameters. Strategies for loss reduction and performance improvements, in terms of torque ripple, total harmonic distortion, efficiency and power density, are investigated and proposed. The effectiveness of axial and radial segmentations, PM edge shape, and semi-magnetic slot wedges are evaluated. Finally, recommendations are made for designing a PM Halbach array.

Original languageEnglish
Title of host publication23rd International Conference on Electrical Machines and Systems, ICEMS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages710-715
Number of pages6
ISBN (Electronic)9784886864192
DOIs
Publication statusPublished - 24 Nov 2020
Event23rd International Conference on Electrical Machines and Systems, ICEMS 2020 - Hamamatsu, Japan
Duration: 24 Nov 202027 Nov 2020

Publication series

Name23rd International Conference on Electrical Machines and Systems, ICEMS 2020

Conference

Conference23rd International Conference on Electrical Machines and Systems, ICEMS 2020
Country/TerritoryJapan
CityHamamatsu
Period24/11/2027/11/20

Keywords

  • Eddy-Current losses
  • Electrical Machines
  • Halbach PM array
  • PMSM

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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